scholarly journals Testing the Factor Structure and Measurement Invariance Across Gender of the Big Five Inventory Through Exploratory Structural Equation Modeling

2015 ◽  
Vol 98 (1) ◽  
pp. 88-99 ◽  
Author(s):  
Carlo Chiorri ◽  
Herbert W. Marsh ◽  
Alessandro Ubbiali ◽  
Deborah Donati
Keyword(s):  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Big Five ◽  
Structural Equation ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Big Five Inventory

A new look at the big five factor structure through exploratory structural equation modeling.

2010 ◽  
Vol 22 (3) ◽  
pp. 471-491 ◽  
Author(s):  
Herbert W. Marsh ◽  
Oliver Lüdtke ◽  
Bengt Muthén ◽  
Tihomir Asparouhov ◽  
Alexandre J. S. Morin ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Factor Structure ◽  
Big Five ◽  
Structural Equation ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
New Look

Is Self-Compassion Universal? Support for the Measurement Invariance of the Self-Compassion Scale Across Populations

Assessment ◽  
2020 ◽  
Vol 28 (1) ◽  
pp. 169-185 ◽  
Author(s):  
István Tóth-Király ◽  
Kristin D. Neff
Keyword(s):  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Secondary Data ◽  
The Self ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Self Compassion ◽  
Wide Range ◽  
Compassion Scale

The Self-Compassion Scale (SCS) is a widely used measure to assess the trait of self-compassion, and, so far, it has been implicitly assumed that it functions the same way across different groups. This assumption needs to be explicitly tested to ascertain that no measurement biases exist. To address this issue, the present study sought to systematically examine the generalizability of the bifactor exploratory structural equation modeling operationalization of the SCS via tests of measurement invariance across a wide range of populations, varying according to features such as student or community status, gender, age, and language. Secondary data were used for this purpose and included a total of 18 samples and 12 different languages ( N = 10,997). Multigroup analyses revealed evidence for the configural, weak, strong, strict, and latent variance–covariance of the bifactor exploratory structural equation modeling operationalization of the SCS across different groups. These findings suggest that the SCS provides an assessment of self-compassion that is psychometrically equivalent across groups. However, findings comparing latent mean invariance found that levels of self-compassion differed across groups.

Testing Measurement Invariance Across Spanish and English Versions of the Physical Self-Description Questionnaire: An Application of Exploratory Structural Equation Modeling

2014 ◽  
Vol 36 (2) ◽  
pp. 179-188 ◽  
Author(s):  
Inés Tomás ◽  
Herbert W. Marsh ◽  
Vicente González-Romá ◽  
Víctor Valls ◽  
Benjamin Nagengast
Keyword(s):  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Cross Cultural ◽  
Spanish Version ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Alternative Approach ◽  
Cultural Comparisons ◽  
Sport And Exercise

Test of measurement invariance across translated versions of questionnaires is a critical prerequisite to comparing scores on the different versions. In this study, we used exploratory structural equation modeling (ESEM) as an alternative approach to evaluate the measurement invariance of the Spanish version of the Physical Self-Description Questionnaire (PSDQ). The two versions were administered to large samples of Australian and Spanish adolescents. First, we compared the CFA and ESEM approaches and showed that ESEM fitted the data much better and resulted in substantially more differentiated factors. We then tested measurement invariance with a 13-model ESEM taxonomy. Results justified using the Spanish version of the PSDQ to carry out cross-cultural comparisons in sport and exercise psychology research. Overall, the study can stimulate research on physical self-concept across countries and foster better cross-cultural comparisons.

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